Factors driving unified communications and collaboration adoption and use in organizations

2016 ◽  
Vol 20 (1) ◽  
pp. 21-40 ◽  
Author(s):  
Mario Silic ◽  
Andrea Back
Keyword(s):  
Technology Acceptance ◽  
Latent Variables ◽  
Latent Variable ◽  
Planning Process ◽  
Least Squares Method ◽  
Longitudinal Design ◽  
Cultural Dimensions ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Unified Communications

Purpose The purpose of this paper is to reveal factors that drive the adoption and use of unified communications and collaboration (UC&C) technology in organizations. Design/methodology/approach The authors used quantitative method to survey 296 employees from 50 different countries by conducting and international study. Partial least squares -method was used for the latent variables latent variable analysis Findings The authors found that unified theory of acceptance and use of technology constructs are mainly validated where results suggests that performance expectancy and social influence are the most influential drivers in employee acceptance and use of UC&C in organizations. Social presence, influence of peers and superiors are the main factors to take into consideration when implementation UC&C technology. Research limitations/implications The study was not longitudinal in design, which should be addressed by a future study that includes multi-cultural dimensions with a longitudinal design Practical implications Awareness through education and training of employees needs to be given very particular attention in the future mobile implementations. Moreover, management and employee support is the critical component of the effective information security governance framework implementation. Finally, mobile strategy needs to go over very precise and detailed planning process to ensure the right technology acceptance by users. Originality/value The authors close the existing research gap by providing useful insights into organizations regarding their UC&C technology adoption and use factors

The international profile of the firm

2019 ◽  
Vol 32 (3) ◽  
pp. 392-410
Author(s):  
Luz-Dary Botero-Pinzón ◽  
Jose C. Casillas ◽  
Marisol Valencia-Cárdenas
Keyword(s):  
Latin American ◽  
Latent Variables ◽  
Latent Variable ◽  
Statistical Technique ◽  
Structural Equations ◽  
International Expansion ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Four Levels ◽  
And Cluster Analysis

Purpose The purpose of this paper is to design a system for measuring the level of internationalisation of companies in the field of developing countries, through latent variables based on multiple indicators, external and internal orientation. Design/methodology/approach From a sample of 112 international companies in Colombia, the methodology of latent variable analysis (LPA) is applied to a series of complementary tools, such as a model of structural equations, regression models and cluster analysis of companies. Findings The paper allows to verify the identification of six latent variables and their relationships, as well as to identify four levels of internationalisation from the structure of latent variables identified. Originality/value This is the first application of this recent and sophisticated statistical technique to the field of measuring the level of business internationalisation, especially indicated in the Latin American area, where an increasing number of companies are advancing in their process of international expansion.

A latent variable analysis of corporate social responsibility and firm value

2018 ◽  
Vol 44 (4) ◽  
pp. 478-494 ◽  
Author(s):  
Boonlert Jitmaneeroj
Keyword(s):  
Firm Value ◽  
Measurement Errors ◽  
Latent Variable ◽  
Fixed Effects ◽  
Latent Variable Model ◽  
Variable Model ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Corporate Social ◽  
Variable Analysis

Purpose Corporate social responsibility (CSR) has several dimensions that are inherently unobservable or measured with errors. Due to measurement errors of CSR proxies, regression analysis seems inappropriate for investigating the relationship between CSR and firm value. Accounting for CSR measurement errors, the purpose of this paper is to use a latent variable analysis to examine whether CSR affects firm value. Design/methodology/approach This study applies a latent variable model that directly takes into account the measurement errors of CSR proxies. Moreover, the inclusion of firm-fixed effects in the model controls for time-invariant unobservable firm-specific characteristics that may drive both CSR and firm value. CSR is measured by environmental, social, and corporate governance activities. Findings Based on data of US firms between 2002 and 2014, this study finds conflicting evidence of a direct association between each CSR proxy and firm value. When all CSR proxies are incorporated into a latent variable model, CSR significantly positively impacts firm value. Therefore, CSR strategies based on a single measure of CSR or the equal weighting of CSR measures tend to underestimate the influence of CSR on firm value. Practical implications Corporate managers should enhance firm value by simultaneously engaging in environmental, social, and corporate governance activities because there is a synergistic effect with firm value. Furthermore, investors who downplay CSR factors in firm valuation can lead to significant errors in making equity investment choices. Originality/value This study presents a novel examination of the price-earnings ratio in the CSR valuation by using the latent variable model with firm-fixed effects.

Logistics performance collaboration strategy and information sharing with logistics capability as mediator variable (study in Gafeksi East Java Indonesia)

2019 ◽  
Vol 36 (8) ◽  
pp. 1301-1317
Author(s):  
Indro Kirono ◽  
Armanu Armanu ◽  
Djumilah Hadiwidjojo ◽  
Solimun Solimun
Keyword(s):  
Information Sharing ◽  
Latent Variables ◽  
Latent Variable ◽  
Business Performance ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Content Type ◽  
Strategic Role ◽  
Research Populations

Purpose The purpose of this paper is to analyze the effect of collaboration, capability and information sharing (IS) on logistic performance, the effect of collaboration and IS on capabilities, the effect of collaboration on logistic performance through capabilities, the influence of IS on logistic performance through capabilities and the effect of logistics capabilities on logistics performance. Design/methodology/approach This study uses a quantitative approach and is included in explanatory research. This research uses cross section research design. The research populations are all companies incorporated in GAFEKSI (Joint Forwarder and Expedition Indonesia) of East Java. Sampling in this research is by using a purposive sample. The sample of this study amounted to 47 forwarder and expedition companies. Data analysis method used is partial least square. Findings Collaboration has a positive impact on capabilities (CAP); capability (LOC) positive impact on logistic performance; collaboration does not directly affect the logistics performance; and construct capabilities (LOC) is the mediation of IS in building business logistics performance. Increasing the intensity of IS has no direct contribution to increased flexibility, and collaboration is driven by partnership and network, whereas CT (trust) can be ignored, as it is not proven to make a dominant contribution to collaboration. Originality/value The novelty of this research is found in the strategic role of capabilities as the dominant latent variable in building business performance of logistic companies. This study finds dual mediation, where both mediations are expressed as full mediation, because the direct effect of mediator latent variables is significant (Little et al., 2010; Hair et al., 1995).

Intrinsic and extrinsic motivation, organizational context, employee contentment, job satisfaction, performance and intention to stay

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismatilla Mardanov
Keyword(s):  
Job Satisfaction ◽  
Latent Variables ◽  
Latent Variable ◽  
Extrinsic Motivation ◽  
Organizational Context ◽  
Critical Factor ◽  
Short Version ◽  
Intention To Stay ◽  
Content Type ◽  
Intrinsic And Extrinsic Motivation

PurposeThe purpose of the present study is to examine the determinants of employee contentment and its effects on job satisfaction, separation and performance; define employee contentment as employee happiness/enjoyment at work triggered by employee intrinsic and extrinsic motivation and organizational context; and consider employee contentment as the critical factor affecting job satisfaction.Design/methodology/approachThe study utilizes survey data from 272 employees of Taiwanese construction companies and consulting firms in the construction industry. In confirmatory factor analysis, the items are from the short version of the Minnesota Satisfaction Questionnaire (MSQ) and a newly developed organizational context questionnaire.FindingsThe MSQ items can be considered as perceived motivators of employees. These motivators and organizational characteristics (context) as manifest variables were loaded on distinct latent variables such as extrinsic and intrinsic motivation and organizational context, all of which in turn loaded on a single latent variable – employee contentment. The latter has a positive and statistically significant impact on job satisfaction, performance and intention to stay. While employee contentment has a stronger impact on performance, job satisfaction has a stronger impact on the intention to stay.Originality/valueThe present study utilizes the MSQ satisfaction themes as intrinsic and extrinsic motivators: employees' perceived feelings before the actual work process starts (intrinsic) and work outcomes occur (extrinsic). It examines employee contentment through these perceived feelings and organizational context, providing important research and practice implications.

Students’ intentions to use PBWorks: a factor-based PLS-SEM approach

2019 ◽  
Vol 120 (7/8) ◽  
pp. 489-504 ◽  
Author(s):  
Eddie W.L. Cheng ◽  
Samuel K.W. Chu ◽  
Carol S.M. Ma
Keyword(s):  
Secondary Schools ◽  
Technology Acceptance ◽  
Latent Variables ◽  
Teacher Support ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
School Support ◽  
Content Type ◽  
E Learning

Purpose Wikis, as one of the Web 2.0 tools, has been increasingly used to engage students to learn with others in a collaborative virtual environment. However, there are relatively few studies examining the application of wikis in secondary schools. Therefore, this study aims to investigate factors affecting the use of PBWorks (a popular wiki tool). Design/methodology/approach The aim was achieved by empirically examining an extended technology acceptance model (TAM) from a sample of 429 junior secondary students in Hong Kong. Specifically, relationships among six latent variables, which were school support, teacher support, perceived ease of use, perceived usefulness, attitudes towards use and the intention to use, were posited in the model. The more robust factor-based partial least squares structural equation modelling (factor-based PLS-SEM) was used to test the research model. Findings The results indicated that most of the hypotheses were supported, which suggested that the extended TAM could explain the rationale behind students’ intentions to use PBWorks for group projects. Originality/value This paper extended the original TAM by including two additional variables (school support and teacher support) for explaining behavioural intentions. Because of the increased use of e-learning platforms in secondary schools, more understanding of what motivates secondary school students’ e-learning intentions is necessary.

The influence of a virtual agent on web-users' desire to visit the company

2014 ◽  
Vol 31 (4) ◽  
pp. 419-434 ◽  
Author(s):  
Reza Etemad-Sajadi
Keyword(s):  
Technology Acceptance ◽  
Latent Variables ◽  
Web Site ◽  
Online Survey ◽  
Added Value ◽  
Equation Modeling ◽  
Virtual Agents ◽  
Virtual Agent ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this study is to measure the perception and the behavioural intention of web-users who interact with a virtual agent on a web site. The author wants to measure the added value of this technology in terms of providing e-service and measure web-users' desire to have a concrete experience with a firm after experiencing its web site. Design/methodology/approach – The author integrated a virtual agent on a restaurant's web site and conducted an online survey. The author asked respondents to interact with the virtual agent and then fill in the questionnaire. The author used the expanded version of the technology acceptance model (TAM) for measuring the intention of potential customers to accept a new technology and for evaluating the characteristics of the virtual agent. In order to measure the e-service quality, the author adapted items of WebQual to restaurant industry. As the author had several latent variables, the author used partial least squares (PLS), a variance-based structural equation modeling method. Findings – Results show that the utilitarian and hedonic values of the virtual agent increase significantly the desire of potential clients to experiment the restaurant. Hedonic value seems to play a major role. This is a crucial factor for restaurant and hotel industries which can be considered as hedonic industries. Practical implications – This research can help firms to manage relationships with current and potential clients through their web site. The nature of the company plays an important role in the success of the virtual agent's implementation. Even if in the case the author applied the virtual agent to a hedonic industry, a lot of companies in other sectors can benefit from having a virtual agent, especially if the company in question is service-oriented (e.g. bank, airline, etc.). Originality/value – According to the author's knowledge, virtual agents have never been applied to restaurant/hotel industries before. The results of this research significantly advanced the understanding of the impact of virtual agents, especially in the hospitality industry. Moreover, the author applied the TAM to the characteristics of virtual agent, which is very new for the academic world. Finally, the framework the author presented in this research could be used as a basis of measurement of virtual agent effectiveness.

Gain more insight from your PLS-SEM results

2016 ◽  
Vol 116 (9) ◽  
pp. 1865-1886 ◽  
Author(s):  
Christian M. Ringle ◽  
Marko Sarstedt
Keyword(s):  
Technology Acceptance ◽  
Latent Variables ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Measurement Scales ◽  
Content Type ◽  
Systematic Procedure ◽  
Average Value

Purpose The purpose of this paper is to introduce the importance-performance map analysis (IPMA) and explain how to use it in the context of partial least squares structural equation modeling (PLS-SEM). A case study, drawing on the IPMA module implemented in the SmartPLS 3 software, illustrates the results generation and interpretation. Design/methodology/approach The explications first address the principles of the IPMA and introduce a systematic procedure for its use, followed by a detailed discussion of each step. Finally, a case study on the use of technology shows how to apply the IPMA in empirical PLS-SEM studies. Findings The IPMA gives researchers the opportunity to enrich their PLS-SEM analysis and, thereby, gain additional results and findings. More specifically, instead of only analyzing the path coefficients (i.e. the importance dimension), the IPMA also considers the average value of the latent variables and their indicators (i.e. performance dimension). Research limitations/implications An IPMA is tied to certain requirements, which relate to the measurement scales, variable coding, and indicator weights estimates. Moreover, the IPMA presumes linear relationships. This research does not address the computation and interpretation of non-linear dependencies. Practical implications The IPMA is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications. Thereby, the IPMA allows for prioritizing constructs to improve a certain target construct. Expanding the analysis to the indicator level facilitates identifying the most important areas of specific actions. These results are, for example, particularly important in practical studies identifying the differing impacts that certain construct dimensions have on phenomena such as technology acceptance, corporate reputation, or customer satisfaction. Originality/value This paper is the first to offer researchers a tutorial and annotated example of an IPMA. Based on a state-of-the-art review of the technique and a detailed explanation of the method, this paper introduces a systematic procedure for running an IPMA. A case study illustrates the analysis, using the SmartPLS 3 software.

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2021 ◽  
Vol 10 (3) ◽  
pp. 423-434
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

Examining the role of social media-based destination brand community in evoking tourists’ emotions and intention to co-create and visit

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Man Lai Cheung ◽  
Hiram Ting ◽  
Jun-Hwa Cheah ◽  
Mohamad-Noor Salehhuddin Sharipudin
Keyword(s):  
Social Media ◽  
Latent Variable ◽  
Structural Equation ◽  
Dynamic Environment ◽  
Future Research ◽  
Brand Community ◽  
Content Type ◽  
Latent Variable Analysis ◽  
Destination Brand ◽  
The Impact

Purpose Using the stimulus-organism-response model as the theoretical basis, the purpose of this study is to examine the impact of a social media-based destination brand community (SMDBC) on tourists’ emotions, and the subsequent effect on the intention to co-create value and visit. Design/methodology/approach The theoretical framework was tested using survey data from 551 Chinese social media users who were followers of Japanese social media pages. Partial least squares–structural equation modelling was adopted to perform the latent variable analysis. Findings The findings reveal that SMDBC plays a considerable role in shaping tourists’ emotions, including joy, love and positive surprise, which, in turn, have a significant impact on consumers’ intention to co-create value and visit. Contrary to previous studies, the effect of joy on tourists’ intention to co-create and visit is found to be insignificant. Research limitations/implications The present study elucidates the importance and relevance of SMDBC in evoking tourists’ positive emotions, and subsequently their intention to co-create value and visit. Future research is recommended to compare and contrast SMDBC with other marketing and branding activities to provide greater insights into the phenomenon in a dynamic environment. Practical implications This study enables academics and business practitioners to better comprehend the effectiveness of SMDBC in driving tourists’ favourable assessment and behavioural intentions to improve resource allocation. In particular, destination marketers are recommended to optimise SMDBC and encourage discussion on SMDBC among users. Originality/value As literature in relation to the importance of SMDBC in evoking tourists’ emotions incorporating its link with tourists’ intention to co-create value and visit is relatively scarce, this study contributes to the branding and destination tourism research by empirically articulating the relevance of SMDBC in stimulating tourists’ emotions and subsequently value co-creation and visit intention.

Mental Health of Preschool Children and their Mothers in a Mixed Urban/Rural Population

1996 ◽  
Vol 168 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Jim Stevenson ◽  
Margaret J. J. Thompson ◽  
Edmund Sonuga-Barke
Keyword(s):  
Mental State ◽  
Latent Variables ◽  
Latent Variable ◽  
Goodness Of Fit ◽  
Common Factor ◽  
Population Sample ◽  
Behaviour Problems ◽  
Latent Variable Analysis ◽  
Child Adaptation ◽  
Children’S Behaviour

BackgroundThere is a lack of clear and explicit models of the way various family and social influences on children's behaviour interact with factors such as temperament to produce behaviour disturbance in young children.MethodThe following measures had been obtained on a total population sample of 1047 families with a 3-year-old child: the child's perceived cuddliness, difficult temperament, mother's unhappy childhood, maternal disturbance, social class, behaviour problems and overactivity. A latent variable analysis using the LISREL 7 program was applied to the data.ResultsA model that allowed the latent variables child ‘temperament’ and ‘mother's mental state’ to have separate additive effects on ‘child adaptation’ proved an excellent fit (goodness of fit index = 0.956). This model suggests that there is a common factor (‘child adaptation’) underlying behaviour problems and overactivity. Using this model 72% of child adaptation in boys could be explained. For girls however temperament and mother's mental state accounted for only 30% of the variance in child adaptation.ConclusionThere is a need to investigate different mechanisms for the origins of behaviour problems in preschool boys and girls.

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